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Daniel Fried
Daniel Fried
Carnegie Mellon University
Bestätigte E-Mail-Adresse bei cs.cmu.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Speaker-follower models for vision-and-language navigation
D Fried, R Hu, V Cirik, A Rohrbach, J Andreas, LP Morency, ...
Advances in Neural Information Processing Systems 31, 2018
4372018
Incoder: A generative model for code infilling and synthesis
D Fried, A Aghajanyan, J Lin, S Wang, E Wallace, F Shi, R Zhong, W Yih, ...
arXiv preprint arXiv:2204.05999, 2022
2312022
Bayesian geometric modeling of indoor scenes
L Del Pero, J Bowdish, D Fried, B Kermgard, E Hartley, K Barnard
Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on …, 2012
1622012
StarCoder: may the source be with you!
R Li, LB Allal, Y Zi, N Muennighoff, D Kocetkov, C Mou, M Marone, C Akiki, ...
arXiv preprint arXiv:2305.06161, 2023
1072023
Unified pragmatic models for generating and following instructions
D Fried, J Andreas, D Klein
arXiv preprint arXiv:1711.04987, 2017
1052017
Analyzing the language of food on social media
D Fried, M Surdeanu, S Kobourov, M Hingle, D Bell
2014 IEEE International Conference on Big Data (Big Data), 778-783, 2014
1052014
Are you looking? grounding to multiple modalities in vision-and-language navigation
R Hu, D Fried, A Rohrbach, D Klein, T Darrell, K Saenko
arXiv preprint arXiv:1906.00347, 2019
812019
Human-level play in the game of Diplomacy by combining language models with strategic reasoning
Meta Fundamental AI Research Diplomacy Team (FAIR)†, A Bakhtin, ...
Science 378 (6624), 1067-1074, 2022
762022
Neural theory-of-mind? on the limits of social intelligence in large lms
M Sap, R LeBras, D Fried, Y Choi
arXiv preprint arXiv:2210.13312, 2022
762022
Pragmatically informative text generation
S Shen, D Fried, J Andreas, D Klein
arXiv preprint arXiv:1904.01301, 2019
602019
Maps of computer science
D Fried, SG Kobourov
2014 IEEE Pacific Visualization Symposium, 113-120, 2014
592014
Higher-order lexical semantic models for non-factoid answer reranking
D Fried, P Jansen, G Hahn-Powell, M Surdeanu, P Clark
Transactions of the Association for Computational Linguistics 3, 197-210, 2015
582015
Effective inference for generative neural parsing
M Stern, D Fried, D Klein
arXiv preprint arXiv:1707.08976, 2017
552017
SantaCoder: don't reach for the stars!
LB Allal, R Li, D Kocetkov, C Mou, C Akiki, CM Ferrandis, N Muennighoff, ...
arXiv preprint arXiv:2301.03988, 2023
512023
Contrastive decoding: Open-ended text generation as optimization
XL Li, A Holtzman, D Fried, P Liang, J Eisner, T Hashimoto, L Zettlemoyer, ...
arXiv preprint arXiv:2210.15097, 2022
462022
Grounding language models to images for multimodal inputs and outputs
JY Koh, R Salakhutdinov, D Fried
International Conference on Machine Learning, 17283-17300, 2023
44*2023
Incorporating both distributional and relational semantics in word representations
D Fried, K Duh
arXiv preprint arXiv:1412.4369, 2014
432014
DS-1000: A natural and reliable benchmark for data science code generation
Y Lai, C Li, Y Wang, T Zhang, R Zhong, L Zettlemoyer, W Yih, D Fried, ...
International Conference on Machine Learning, 18319-18345, 2023
402023
Improving neural parsing by disentangling model combination and reranking effects
D Fried, M Stern, D Klein
arXiv preprint arXiv:1707.03058, 2017
402017
Natural language to code translation with execution
F Shi, D Fried, M Ghazvininejad, L Zettlemoyer, SI Wang
arXiv preprint arXiv:2204.11454, 2022
382022
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